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Operator IT Solutions Engineer – AI, Automation & Cloud at Dev Technology Group, Inc.

Builds internal IT automations, workflows, and tools using AI assistance across Microsoft 365 and AWS cloud environments to improve employee productivity and reduce manual effort.

Mid Posted about 12 hours ago RemoteFirstJobs Product
What this role involves

IT Solutions Engineer – AI, Automation & Cloud, #1111

Clearance: US Citizenship Required; ability to obtain a government clearance if required.

We are looking for an IT Solutions Engineer who wants to do more than keep systems running. This role is for someone who can help reinvent internal IT by building practical automations, improving employee experiences, and using AI-assisted, spec-driven development to turn business needs into reliable solutions.

Our environment spans both Microsoft and AWS in real production use. We are Microsoft-heavy across Microsoft 365, Teams, SharePoint, Entra ID, Intune, Defender, Power Platform, Copilot, and Azure services, while also running multiple production systems, applications, and cloud services in AWS. The successful candidate needs to move comfortably between at least these two clouds and choose the right platform, tool, or service for the problem at hand.

This is a hands-on role for someone who likes solving messy problems, learning quickly, documenting what they build, and delivering tools people actually use. You will support core IT operations, but the bigger opportunity is to identify friction in the business and build secure, maintainable solutions that reduce manual effort and help people work better.

What You’ll Do

  • Build useful internal tools, automations, workflows, scripts, and lightweight applications that improve how employees work.

  • Use spec-driven development practices to clarify the problem, define expected behavior, document assumptions, and deliver maintainable solutions.

  • Use AI tools responsibly to accelerate research, solution design, development, troubleshooting, documentation, and iteration.

  • Improve and extend our Microsoft 365 environment, especially Teams, SharePoint, Entra ID, Intune, Defender, Power Platform, Copilot, and related services.

  • Work interchangeably across Microsoft/Azure and AWS environments, including production systems, applications, APIs, source control, CI/CD, infrastructure automation, monitoring, identity, and security controls.

  • Partner with business users to understand pain points, prioritize high-value opportunities, and deliver solutions people will actually adopt.

  • Help keep IT operations secure, reliable, documented, and aligned with compliance needs such as CMMC, ISO 27001, and ISO 20000.

Required Skills and Experience

  • Minimum of a Bachelor’s and 3+ years of hands-on experience supporting Microsoft 365, endpoint management, identity, collaboration tools, or modern IT operations.

  • Experience building automations, workflows, scripts, integrations, internal tools, or low-code solutions.

  • Comfort moving between Microsoft/Azure and AWS environments, with the judgment to understand where each platform fits and how to support production workloads responsibly.

  • Ability to turn ambiguous requests into clear specifications, working prototypes, tested solutions, and practical documentation.

  • Responsible use of AI-assisted tools for research, development, troubleshooting, documentation, and continuous learning.

  • Strong troubleshooting, communication, documentation, and user empathy.

  • Familiarity with security, access control, least privilege, audit evidence, and compliance-conscious operations.

Preferred Skills and Experience

  • Power Platform, Microsoft Graph, PowerShell, Python, JavaScript, REST APIs, or similar development experience.

  • Amazon Kiro, Microsoft Copilot, GitHub Copilot, ChatGPT, Copilot Studio, Azure AI, OpenAI-based tools, or AI-powered internal assistants.

  • Hands-on experience with AWS services such as IAM, Lambda, S3, CloudWatch, CloudFormation, ECS, API Gateway, or related production operations; familiarity with AWS GovCloud and Microsoft GCC High; plus common Infrastructure as Code tools.

  • GitHub, GitLab, source control, CI/CD, DevOps practices, or repeatable deployment approaches.

  • Government contracting, CMMC Level 2, ISO 27001, ISO 20000, NIST SP 800-171, or other regulated/security-conscious environments.

You Might Be a Fit If

You see a manual process and immediately start thinking about how to improve it. You are comfortable supporting systems, but you also want to build things, simplify things, and help people work better.

You are curious, practical, and self-directed. You can learn an unfamiliar environment, talk with users, write down what good looks like, build a solution, test it, document it, and keep improving it.

You are excited by AI because it changes how technical work gets done, but you also understand that internal solutions must be secure, reliable, supportable, and aligned with company policies.

Why This Role Matters

Internal technology should make work easier, not harder. This role helps us get more leverage from Microsoft 365, Azure, AWS, AI, automation, and other platforms so IT can become a more proactive engineering partner to the business.

The estimated salary range for this position is $65,600-$120,000. This salary range is not a guarantee of compensation. The offered salary will be based on factors including relevant experience, geographic location, internal equity, and applicable contractual requirements. *Compensation may fall outside this range when appropriate.

Who We Are

Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client’s missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.

As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy:

  • Generous and flexible time-off policy
  • Flexible work schedules and telework options, including remote work availability for eligible projects
  • Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
  • Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more
  • 401K matching with a 5% matching contribution
  • Regular team and company social events including our annual party, happy hours, fitness challenges, and more
  • A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts
  • To learn more about working at Dev Technology, visit Working At Dev Technology Group

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.

Read the full description
Operator AI/ML Engineer at Rackner

Designs, develops, and deploys AI-enabled solutions and process automations across educational and operational environments while ensuring responsible AI governance and compliance.

Mid Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

AI/ML Specialist

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking an AI/ML Specialist to support the responsible design, development, evaluation, and deployment of artificial intelligence and automation capabilities across educational and operational environments.

The AI/ML Specialist will help identify high-value AI use cases, assess technical and organizational readiness, develop and deploy AI-enabled solutions, and support governance, monitoring, and adoption activities. This role will work across stakeholders, technical teams, data teams, and program leadership to integrate AI capabilities into existing business processes while ensuring solutions align with responsible AI principles, Government policy, and organizational strategy.

The AI/ML Specialist will also support the evaluation of emerging AI and large language model platforms, develop intelligent automation solutions, and contribute to AI governance, procurement readiness, and enterprise adoption.

Responsibilities

  • Support the responsible integration of artificial intelligence into educational and operational business processes
  • Design, develop, test, and deploy AI-driven solutions and process automations
  • Conduct AI readiness assessments for proposed use cases
  • Perform feasibility, benefit, risk, and implementation analyses using standardized evaluation frameworks
  • Evaluate candidate AI use cases based on mission value, data readiness, technical complexity, security, governance, and expected return
  • Develop technical supplements to enterprise AI governance frameworks, including:
    • AI tool evaluation and adoption criteria
    • Model performance monitoring and evaluation protocols
    • AI risk and control requirements
    • AI incident detection and response procedures
    • Human oversight and escalation mechanisms
  • Design and implement AI-enabled business process automations using Government-authorized platforms such as:
    • Power Automate
    • Power Apps
    • Copilot Studio
    • Comparable workflow and intelligent automation platforms
  • Develop AI-enabled solutions through established solution delivery processes, including:
    • Intake and requirements assessment
    • Solution design
    • Prototype development
    • Testing and validation
    • Security and governance review
    • Production deployment
    • Post-deployment monitoring
  • Build and maintain AI agents and agent-enabled workflows
  • Develop intelligent document processing capabilities for classification, extraction, summarization, routing, and related use cases
  • Integrate AI capabilities with enterprise applications, data platforms, APIs, and workflow systems
  • Develop and maintain automated workflows incorporating AI or machine learning components
  • Support AI tool evaluation, pilot program development, and proof-of-concept initiatives
  • Develop evaluation criteria, test plans, success metrics, and recommendations for AI pilots
  • Evaluate emerging AI, machine learning, generative AI, and large language model platforms for organizational applicability
  • Assess Department of Defense-developed, Government-provided, and commercially acquired AI/LLM platforms
  • Support procurement readiness activities for AI tools, including requirements definition, technical evaluation, risk identification, and adoption criteria
  • Develop AI-enabled analytics capabilities including:
    • Predictive modeling
    • Forecasting
    • Natural-language query
    • Classification and anomaly detection
    • Decision-support capabilities
  • Support development of semantic models and AI-ready data products within enterprise Lakehouse environments
  • Develop Python-based AI/ML prototypes, integrations, evaluations, and automation components
  • Support model and solution testing for accuracy, performance, reliability, bias, robustness, and operational suitability
  • Establish and maintain model performance metrics and monitoring processes
  • Support identification, triage, documentation, and response for AI-related incidents or unexpected model behaviors
  • Collaborate with data engineers, analysts, governance teams, cybersecurity teams, and application developers to operationalize AI capabilities
  • Translate stakeholder needs into AI use cases, technical requirements, solution designs, and acceptance criteria
  • Support stakeholder engagement, demonstrations, workshops, training, and adoption activities
  • Develop technical documentation, implementation guides, evaluation reports, and user-facing materials
  • Support change management and adoption efforts for AI-enabled processes
  • Ensure AI solutions align with applicable organizational AI strategies, AI guidelines, security requirements, and responsible AI principles

Qualifications

  • Experience designing, developing, evaluating, or implementing AI/ML solutions
  • Experience with responsible AI frameworks, governance, or risk-management practices
  • Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms
  • Python proficiency
  • Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities
  • Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments
  • Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance
  • Experience developing prototypes, proofs of concept, or production AI-enabled applications
  • Familiarity with model evaluation, performance measurement, and monitoring approaches
  • Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases
  • Strong analytical, problem-solving, communication, and documentation skills
  • Experience working with technical and non-technical stakeholders
  • Ability to translate operational needs into practical AI-enabled solutions
  • Active Secret clearance

Preferred Qualifications

  • Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance
  • Experience developing or implementing AI governance frameworks
  • Experience with generative AI and large language models
  • Experience building AI agents or agentic workflows
  • Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases
  • Experience developing intelligent document processing solutions
  • Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services
  • Experience with Power Platform technologies, including Power Apps and Power Automate
  • Experience developing predictive analytics, forecasting, or natural-language analytics capabilities
  • Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability
  • Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit
  • Experience supporting AI procurement, technology selection, or pilot programs
  • Familiarity with AI capabilities within enterprise Lakehouse or semantic-model architectures
  • Experience within Department of Defense, federal, or education environments

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Read the full description
Operator AI/ML Engineer at Rackner

Designs, develops, and deploys AI-enabled solutions and process automations while supporting governance, readiness assessments, and enterprise adoption of AI capabilities.

Mid Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

AI/ML Specialist

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking an AI/ML Specialist to support the responsible design, development, evaluation, and deployment of artificial intelligence and automation capabilities across educational and operational environments.

The AI/ML Specialist will help identify high-value AI use cases, assess technical and organizational readiness, develop and deploy AI-enabled solutions, and support governance, monitoring, and adoption activities. This role will work across stakeholders, technical teams, data teams, and program leadership to integrate AI capabilities into existing business processes while ensuring solutions align with responsible AI principles, Government policy, and organizational strategy.

The AI/ML Specialist will also support the evaluation of emerging AI and large language model platforms, develop intelligent automation solutions, and contribute to AI governance, procurement readiness, and enterprise adoption.

Responsibilities

  • Support the responsible integration of artificial intelligence into educational and operational business processes
  • Design, develop, test, and deploy AI-driven solutions and process automations
  • Conduct AI readiness assessments for proposed use cases
  • Perform feasibility, benefit, risk, and implementation analyses using standardized evaluation frameworks
  • Evaluate candidate AI use cases based on mission value, data readiness, technical complexity, security, governance, and expected return
  • Develop technical supplements to enterprise AI governance frameworks, including:
    • AI tool evaluation and adoption criteria
    • Model performance monitoring and evaluation protocols
    • AI risk and control requirements
    • AI incident detection and response procedures
    • Human oversight and escalation mechanisms
  • Design and implement AI-enabled business process automations using Government-authorized platforms such as:
    • Power Automate
    • Power Apps
    • Copilot Studio
    • Comparable workflow and intelligent automation platforms
  • Develop AI-enabled solutions through established solution delivery processes, including:
    • Intake and requirements assessment
    • Solution design
    • Prototype development
    • Testing and validation
    • Security and governance review
    • Production deployment
    • Post-deployment monitoring
  • Build and maintain AI agents and agent-enabled workflows
  • Develop intelligent document processing capabilities for classification, extraction, summarization, routing, and related use cases
  • Integrate AI capabilities with enterprise applications, data platforms, APIs, and workflow systems
  • Develop and maintain automated workflows incorporating AI or machine learning components
  • Support AI tool evaluation, pilot program development, and proof-of-concept initiatives
  • Develop evaluation criteria, test plans, success metrics, and recommendations for AI pilots
  • Evaluate emerging AI, machine learning, generative AI, and large language model platforms for organizational applicability
  • Assess Department of Defense-developed, Government-provided, and commercially acquired AI/LLM platforms
  • Support procurement readiness activities for AI tools, including requirements definition, technical evaluation, risk identification, and adoption criteria
  • Develop AI-enabled analytics capabilities including:
    • Predictive modeling
    • Forecasting
    • Natural-language query
    • Classification and anomaly detection
    • Decision-support capabilities
  • Support development of semantic models and AI-ready data products within enterprise Lakehouse environments
  • Develop Python-based AI/ML prototypes, integrations, evaluations, and automation components
  • Support model and solution testing for accuracy, performance, reliability, bias, robustness, and operational suitability
  • Establish and maintain model performance metrics and monitoring processes
  • Support identification, triage, documentation, and response for AI-related incidents or unexpected model behaviors
  • Collaborate with data engineers, analysts, governance teams, cybersecurity teams, and application developers to operationalize AI capabilities
  • Translate stakeholder needs into AI use cases, technical requirements, solution designs, and acceptance criteria
  • Support stakeholder engagement, demonstrations, workshops, training, and adoption activities
  • Develop technical documentation, implementation guides, evaluation reports, and user-facing materials
  • Support change management and adoption efforts for AI-enabled processes
  • Ensure AI solutions align with applicable organizational AI strategies, AI guidelines, security requirements, and responsible AI principles

Qualifications

  • Experience designing, developing, evaluating, or implementing AI/ML solutions
  • Experience with responsible AI frameworks, governance, or risk-management practices
  • Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms
  • Python proficiency
  • Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities
  • Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments
  • Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance
  • Experience developing prototypes, proofs of concept, or production AI-enabled applications
  • Familiarity with model evaluation, performance measurement, and monitoring approaches
  • Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases
  • Strong analytical, problem-solving, communication, and documentation skills
  • Experience working with technical and non-technical stakeholders
  • Ability to translate operational needs into practical AI-enabled solutions
  • Active Secret clearance

Preferred Qualifications

  • Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance
  • Experience developing or implementing AI governance frameworks
  • Experience with generative AI and large language models
  • Experience building AI agents or agentic workflows
  • Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases
  • Experience developing intelligent document processing solutions
  • Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services
  • Experience with Power Platform technologies, including Power Apps and Power Automate
  • Experience developing predictive analytics, forecasting, or natural-language analytics capabilities
  • Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability
  • Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit
  • Experience supporting AI procurement, technology selection, or pilot programs
  • Familiarity with AI capabilities within enterprise Lakehouse or semantic-model architectures
  • Experience within Department of Defense, federal, or education environments

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Read the full description
Operator AI agent engineer at Sticker Mule

Builds, deploys, and manages AI agents across the organization to automate workflows, improve performance, and serve customers better.

Mid Remote Posted 1 day ago RemoteFirstJobs Product
What this role involves

Sticker Mule is building the most lucrative commerce platform on the Internet by combining software, manufacturing, and AI in one stack.

We’re hiring an engineer to build, run and manage a team of AI agents to help us innovate faster, improve performance, and better serve customers.

Work performed

  • Identify where agents can help and build them accordingly.

  • Work with department leads to assess AI needs.

  • Help connect agents to appropriate third-party and internal tools.

  • Measure results and remove agents that don’t deliver.

  • Test new tools and models as they ship and adopt what works.

  • Advise others on AI capabilities to help them perform.

Requirements

  • Experience building agents that run on their own and do meaningful work

  • Strong with Grok, Claude, OpenAI, and open source

  • Comfortable in Go, TypeScript, GraphQL, Postgres, GCP

  • Writes clearly in English

Compensation

  1. Salary: $150,000–$250,000 USD

  2. $20,000 signing bonus

  3. 4 weeks vacation + country-specific holidays

  4. Fully remote

Read the full description
Operator AI agent engineer at Sticker Mule

Builds, deploys, and manages AI agents across the business to automate workflows, improve performance, and serve customers better.

Mid Remote Posted 1 day ago RemoteFirstJobs Product
What this role involves

Sticker Mule is building the most lucrative commerce platform on the Internet by combining software, manufacturing, and AI in one stack.

We’re hiring an engineer to build, run and manage a team of AI agents to help us innovate faster, improve performance, and better serve customers.

Work performed

  • Identify where agents can help and build them accordingly.

  • Work with department leads to assess AI needs.

  • Help connect agents to appropriate third-party and internal tools.

  • Measure results and remove agents that don’t deliver.

  • Test new tools and models as they ship and adopt what works.

  • Advise others on AI capabilities to help them perform.

Requirements

  • Experience building agents that run on their own and do meaningful work

  • Strong with Grok, Claude, OpenAI, and open source

  • Comfortable in Go, TypeScript, GraphQL, Postgres, GCP

  • Writes clearly in English

Compensation

  1. Salary: $150,000–$250,000 USD

  2. $20,000 signing bonus

  3. 4 weeks vacation + country-specific holidays

  4. Fully remote

Read the full description
Operator GTM AI Operations - India at JumpCloud

Designs and deploys AI-powered outbound workflows across GTM systems to automate prospecting, enrichment, and engagement while improving pipeline generation and seller productivity.

Mid Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

About JumpCloud®

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.

JumpCloud is Intelligent, Secure IT.

What You’ll Be Doing:

Reporting to the Sr. Director of Marketing Operations, this role will focus on designing, building, and operationalizing agentic outbound systems that improve pipeline generation efficiency and seller productivity.

Core Objectives:

Build Agentic Outbound Systems

  • Design and deploy AI outbound workflows that automate account sourcing, contact acquisition, research, prioritization, personalization, sequencing, and engagement orchestration.

Operationalize AI at Scale

  • Move beyond isolated AI experiments by building repeatable, production-ready workflows that integrate across Salesforce, Marketo, Clay, sequencing platforms, enrichment providers, and engagement tools.

Improve Outbound Efficiency

  • Reduce manual BDR work through automation while increasing outbound quality, targeting precision, personalization, and activity scalability.

Accelerate Pipeline Generation

  • Support the evolution of JumpCloud’s outbound programs through AI targeting, signal-based prioritization, automated enrichment, and intelligent workflow orchestration.

Ship Fast and Iterate

  • Rapidly prototype, deploy, measure, and improve GTM workflows with a strong bias toward execution and measurable business impact.

We’re Looking For:

A highly technical GTM operator who enjoys building systems, automations, and workflows that solve real revenue problems. This person thrives in fast-moving environments, is comfortable working across both strategy and execution, and prefers shipping solutions over discussing hypotheticals.

Success in this role is measured by deployed workflows and operational improvements that increase outbound efficiency, pipeline generation, or seller productivity.

Required Qualifications:

GTM Systems & Operations

  • Hands-on experience working within modern GTM systems including Salesforce, Marketo, Gong Engage, enrichment providers, and outbound engagement platforms.

  • Experience building and maintaining workflows across tools such as Clay, Openprise, Zapier, Replit, or similar orchestration platforms.

  • Strong understanding of outbound operations, lead/account flows, enrichment strategies, segmentation, and GTM data management.

  • In-depth understanding of how MCPs work and demonstrated experience applying best practices for MCP utilization and efficiency.

AI & Automation

  • Practical experience applying AI and automation to GTM workflows beyond experimentation.

  • Experience working with LLMs (preferably Claude Cowork & Code), prompt workflows, structured outputs, AI-assisted personalization, and integrating AI outputs into operational systems.

  • Familiarity with APIs, automation logic, webhooks, and lightweight scripting to connect systems and automate processes.

  • Understanding of concepts such as agentic workflows, signal-based automation, RAG, embeddings, or AI orchestration frameworks is a plus.

Builder Mentality

  • Proven ability to independently build and operationalize workflows from idea → deployment → iteration.

  • Comfortable using no-code, low-code, and lightweight coding approaches to deliver solutions quickly.

  • Strong troubleshooting mindset with the ability to identify bottlenecks and improve workflow reliability at scale.

Cross-Functional Collaboration

  • Ability to partner effectively with Marketing, Sales, RevOps, and Data teams to align priorities and execute quickly.

  • Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.

Operating Style

  • Highly self-directed and execution-oriented with a strong bias toward action.

  • Comfortable operating in ambiguity and iterating quickly as priorities evolve.

  • Motivated by solving operational problems and building systems that create measurable business impact.

#LI-YA1

Where you’ll be working/Location:

JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.

This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role.

Language:

JumpCloud® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud®, you will be required to speak and write in English fluently.  Any additional language requirements will be included in the details of the job description.

Why JumpCloud?

If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.

One of JumpCloud®’s three core values is to “Build Connections.” To us that means creating “ human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed.” - Rajat Bhargava, CEO

Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud®.  Please note JumpCloud® is not accepting third party resumes at this time.

JumpCloud® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Scam Notice:

Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.

All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at [email protected] with the subject line “Scam Notice”

#LI-Remote #BI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy (https://jumpcloud.com/privacy) for more information about our personal data practices.

Read the full description
Operator AI Automation Engineer at lastminute.com

Builds and scales AI automation workflows, integrates AI platforms with business systems, and develops production-grade solutions on n8n Enterprise using APIs and low-code tools.

Mid Hybrid Posted 6 days ago RemoteFirstJobs Product
What this role involves

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

  • Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

  • Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

  • Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

  • Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

  • Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

  • Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

  • Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

  • Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

  • n8n workflows automating cross-department processes

  • NLP-based systems that analyze calls and emails

  • RAG-powered assistants and chatbots grounded in our Company Context knowledge base

  • Virtual assistants and chatbots to support internal teams

  • Recommendation engines that guide real-time sales or support actions

  • Automated tools to generate personalized content

  • Dashboards and reporting tools that surface AI-generated insights

Your expertise:

  • 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

  • Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

  • End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

  • Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

  • Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

  • Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

  • Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

  • Languages:

Proficiency in Python and/or JavaScript.

  • AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

  • RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

  • Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

  • Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

  • Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Read the full description
Operator AI Automation Engineer at lastminute.com

Builds and scales n8n automation workflows, designs AI solutions, integrates external AI platforms with internal systems, and maintains production-grade automation infrastructure.

Mid Hybrid Posted 6 days ago RemoteFirstJobs Product
What this role involves

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

  • Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

  • Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

  • Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

  • Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

  • Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

  • Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

  • Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

  • Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

  • n8n workflows automating cross-department processes

  • NLP-based systems that analyze calls and emails

  • RAG-powered assistants and chatbots grounded in our Company Context knowledge base

  • Virtual assistants and chatbots to support internal teams

  • Recommendation engines that guide real-time sales or support actions

  • Automated tools to generate personalized content

  • Dashboards and reporting tools that surface AI-generated insights

Your expertise:

  • 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

  • Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

  • End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

  • Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

  • Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

  • Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

  • Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

  • Languages:

Proficiency in Python and/or JavaScript.

  • AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

  • RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

  • Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

  • Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

  • Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Read the full description
Operator AI Automation Engineer at lastminute.com

Builds and scales AI automation workflows using n8n, integrates AI platforms with business systems, and develops custom AI solutions to support key business processes.

Mid Hybrid Posted 6 days ago RemoteFirstJobs Product
What this role involves

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

  • Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

  • Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

  • Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

  • Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

  • Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

  • Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

  • Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

  • Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

  • n8n workflows automating cross-department processes

  • NLP-based systems that analyze calls and emails

  • RAG-powered assistants and chatbots grounded in our Company Context knowledge base

  • Virtual assistants and chatbots to support internal teams

  • Recommendation engines that guide real-time sales or support actions

  • Automated tools to generate personalized content

  • Dashboards and reporting tools that surface AI-generated insights

Your expertise:

  • 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

  • Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

  • End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

  • Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

  • Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

  • Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

  • Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

  • Languages:

Proficiency in Python and/or JavaScript.

  • AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

  • RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

  • Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

  • Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

  • Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Read the full description
Operator AI Operations Engineer at OpenZeppelin

Designs, implements, and maintains AI workflows and agents that automate business processes across the company, while providing product feedback on the internal AI automation framework.

Mid Posted 6 days ago RemoteFirstJobs Product
What this role involves

About us

OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world’s transition to an open financial system, built on open standards and secured by rigorous research.

Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap.

We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle.

Please note: Always refer to OpenZeppelin’s official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information.

The AI Operations Team

The AI Operations team owns the agentic layer the rest of the company runs on. We build the workflows, agents, and scheduled tasks that automate business processes end to end, and we build and maintain the proprietary framework those components ship in. Every business unit at OpenZeppelin is a customer of this team.

What you’ll be doing

The role has two primary work streams.

AI workflow design, implementation, and maintenance. You understand the fundamental AI building blocks that we use in the company, and you work with interdisciplinary business units to help them identify flows in their processes that can be optimized and automated with AI.

Internal AI automation framework product feedback and contribution. Based on the experience that you obtain as a consumer of the internal AI automation framework, and on your study of the ecosystem, you provide product feedback (feature requests, bug reports, etc.), contribute to the source code of the framework, and take part in peer review and development.

  • Work together with different business units in the company to understand where and how AI can be applied in their daily workflows to improve their overall productivity.
  • Design, implement, test, and maintain AI automation workflows and scheduled tasks that encapsulate and automate business processes that span the company.
  • Monitor and measure automation executions, and iterate on the components that underperform.
  • Provide product feedback for fixes and new features in the internal AI automation framework, and peer review and actively maintain its source code as a developer on the AI Operations team.
  • Run training sessions and write internal guides on applied AI topics such as skill development, agent design, and prompt/context engineering.

You have

  • Hands-on experience building applied AI systems, and fluency with both the concepts involved (prompt engineering, context engineering, prompt caching, tool use, progressive disclosure) and the fundamental building blocks: skills, remote and local MCP servers, agents, and agent harnesses.
  • Practical experience with LLM provider APIs and gateways, such as the the OpenAI Chat Completions and Responses APIs, the Anthropic Messages API, or OpenRouter.
  • Ability to read, write, and structure Markdown-based systems (skills, agent definitions, workflow specs, and knowledge bases), alongside TypeScript development experience and solid Git and GitHub fluency: branches, pull requests, reviews, and the discipline to keep shared repositories clean.
  • A security-first mindset: you think about what an autonomous agent should not be allowed to do before you ship it.
  • Strong ability to communicate deeply technical topics, both written and spoken, and patience working with non-technical colleagues. You will be their bridge into the agentic workflow.

Nice to have

  • Familiarity with AI software development techniques like spec-driven development or RPI (Research, Plan, Implement), with the principal AI development harnesses like Claude Code, Codex, or OpenCode, and with SDD tooling like Superpowers or Spec Kit.
  • Experience running evaluations of LLM systems (evals, benchmarks, regression testing of prompts).
  • Ability to work autonomously and as a collaborator on the team.

Logistics:

Our interview process takes place on Google Meet or Zoom and tends to consist of the following stages:

  • Recruiter Call (30 minutes)
  • Hiring Manager Call (60 minutes)
  • Team Interview (30 minutes)
  • Leadership Interview (30 minutes)
  • Paid work trial (10-20 hours of paid work)
  • Reference checks

Benefits

  • Meet your teammates at company gatherings around the world 😎
  • Enjoy the flexibility of fully remote work 🌎
  • Take the time you need with flexible time off 🏝
  • Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙
  • Build your ideal home office with up to $500 in equipment support 🪑
  • Stay covered with medical insurance 🏥
  • Keep growing with learning and development opportunities 🧠
  • Get a monthly stipend for your preferred co-working space 💻

At OpenZeppelin, we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us!

Use of AI as part of the recruiting process

As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice.

If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Read the full description
Operator Solution Engineer at RelationalAI

Embeds with enterprise customers to design and deploy AI decision systems using RelationalAI's platform, working with executives and data teams to solve high-stakes business problems.

Mid Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

Who We Are

At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.

Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.

RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.

By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners, we deliver trustworthy decision intelligence: systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.

We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here.

The Role

You will be embedded inside our customers’ hardest problems, and you will own the outcome until it works in production.

You’ll sit with executives, domain experts, and data teams to find the decisions that actually move their business - inventory that’s in the wrong place, risk concentrations nobody can see, fraud patterns that only emerge across three systems, capacity plans built on guesses. Then you’ll model their world in our ontology, formulate the reasoning problem, write the PyRel, and ship something that runs against their real data in their own Snowflake account.

Every engagement here produces two deliverables.

The first is the one the customer sees: a working decision system that changes how they operate.

The second is the one that matters most to us: the pile of things you had to invent because our platform didn’t have them yet. The modelling pattern you hand-rolled. The constraint formulation that should have been a primitive. The three-hour workaround where an API should have existed. You bring those back, you argue for them, and the strongest of them become product.

That second deliverable is why this role exists. If you only ever deliver the first one, we’ve hired a consultant. We’re not hiring consultants.

You’ll operate with unusual autonomy: you decide what’s worth building, when a workaround is acceptable and when it’s technical debt we’ll regret, and when to tell a customer their real problem is not the one they asked about. You’ll be technical enough that when something breaks in a customer environment, you find the root cause yourself rather than filing a ticket and waiting.

What You’ll Do

  • Own outcomes end to end - discovery, modelling, implementation, performance tuning, production hardening, and the measurement that proves it worked. Not a handoff at each stage. Yours.
  • Build, not describe - design and ship decision solutions on our modelling, reasoning, and learning stack: ontologies over customer data, rules, graph analytics, optimisation formulations, predictive models
  • Fill the gaps yourself - when a customer workflow is blocked on something the platform doesn’t do, scope it and build it. Then push the general version upstream: read our source, form a hypothesis before you escalate, open the PR.
  • Close the loop with Product - every deployment generates a signal. Bring back reproductions, patterns, and specific failure modes (“the only way I could express this was by abusing X in this way”), not vibes. You are one of the loudest inputs into our roadmap.
  • Run technical discovery that gets to the truth - workshops, demos, and proofs of concept designed to find out whether we can actually solve the problem, not to look impressive.
  • Leave things better than you found them - document as you go, in the repo, same week. Turn one-off work into reusable reference implementations so the next person starts where you finished. No branch of yours should be diverging for a month.
  • Refuse shortcuts that compound - no undocumented config drift, no “it works now” without knowing why it broke, no restarting the service before you’ve captured the evidence.

Who You Are

You thrive in ambiguity and move with intent. You’re motivated by deep understanding and meaningful impact.

  • Owner, not participant. You take full accountability for the outcome, not your slice of it. When something is broken and it’s nobody’s job, it becomes yours.
  • You build. Your instinct in the face of a hard problem is to open an editor, not a deck. You’d rather show a working prototype on real data than a diagram of one.
  • High conviction, low ego. You argue hard for what you believe, you’re direct about what’s wrong, and you change your mind quickly when the evidence turns. You challenge ideas without making it personal - people leave arguments with you feeling sharper, not smaller.
  • Rigorous. You root-cause things. You can explain both why it broke and why your fix works. Surface symptoms don’t satisfy you.
  • Fast in unfamiliar territory. Dropped into a codebase, a domain, or a data model you’ve never seen, you’re useful within days. “I only do backend” and “that’s not my job” are phrases you don’t use.
  • High tolerance for friction. Enterprise environments are messy - broken data, VDI access, security reviews, politics. You route around it and keep shipping.
  • Impact-driven. You want the thing you built to still be running, and still be load-bearing, two years from now.

What This Role Is Not

We’d rather be blunt than waste your time:

  • It is not demo-and-handoff pre-sales. You don’t disappear after the POC; you’re there when it goes to production.
  • It is not staff augmentation. You own outcomes, not hours or ticket queues.
  • It is not advisory. We deliver working software, not recommendations.
  • It is not a support role. You deploy new things; you don’t maintain someone else’s legacy.

Qualifications

  • 5+ years building and shipping production software, at least some of it inside customer or partner environments
  • Demonstrated end-to-end ownership: you have personally taken something from an ambiguous problem statement to running in production, and you can walk us through the whole arc, including what went wrong
  • Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
  • Strong programming ability - Python primarily; comfort with declarative or logic-style languages is a real advantage
  • Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems you didn’t write
  • Able to hold your own with both a VP of Supply Chain and a staff data engineer, in the same meeting
  • Comfortable operating in high-autonomy, high-velocity, low-instruction environments

Preferred Qualifications

  • Built analytical, decision, or reasoning applications that reached production and stayed there
  • Experience with optimization, constraint solving, rule engines, graph algorithms, or ML on structured data
  • Semantic modelling, data pipelines, and governance in real enterprise settings
  • Track record of upstream contribution - features, tools, or abstractions you built for one customer that became standard for everyone
  • Prior experience in enterprise technology, AI, or analytics platforms

How We Hire

Our loop is designed to test the job, not trivia. Expect a technical screen; a session where you navigate and extend a system you’ve never seen before; a problem-decomposition session on a realistic customer scenario; and a conversation about ownership with the hiring manager. We’re looking for how you think when you don’t know the answer.

The Solution Engineer position offers a base salary range of $170,000 to $200,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.

Why RelationalAI

At RelationalAI, you will:

  • Work from anywhere in the world
  • Earn competitive salary + equity
  • Enjoy open PTO, flexible schedules, and recharge weeks
  • Access global benefits, mental-health support, and learning stipends
  • Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact
  • Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
  • A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.

Country Hiring Guidelines:

RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

How to Apply

If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.

Join us and help build the reasoning layer for the modern enterprise.

Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policyhere.

California residents applying for positions at RelationalAI can see our Privacy Policy here

RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Read the full description
Operator AI Automation Specialist at Pavago

Designs, builds, and optimizes AI-powered automation workflows using platforms like Zapier, Make, and n8n to eliminate manual work and improve operational efficiency across business departments.

Mid Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

AI Automation Specialist – Remote

AI Automation | Workflow Automation | Zapier | Make | n8n | OpenAI | Process Optimization

Position Type: Full-Time, Remote

Location: Remote (LATAM, Pakistan, South Africa, Eastern Europe Preferred)

Working Hours: U.S. Business Hours

About the Role

At Pavago, one of our clients is hiring an AI Automation Specialist to design, build, and optimize intelligent automation systems that eliminate manual work and improve operational efficiency across the business.

This is a hands-on, execution-focused role combining AI integration, workflow automation, system integrations, and process optimization. You’ll leverage modern automation platforms, APIs, and AI models to create scalable solutions that streamline operations across departments including operations, sales, marketing, HR, finance, and customer support.

If you’re passionate about AI, automation, and building systems that save time, reduce errors, and scale business operations, this role is an excellent opportunity to make a measurable impact.

What You’ll Own

Process Analysis & Automation Design

  • Analyze existing workflows and identify automation opportunities.
  • Design scalable AI-powered workflows that reduce manual effort.
  • Translate business requirements into efficient automation solutions.
  • Recommend automation strategies that improve scalability and operational efficiency.
  • Continuously identify process improvements and eliminate bottlenecks.

AI & Workflow Automation

  • Build, deploy, and maintain workflows using platforms such as:

    • Zapier
    • Make
    • n8n
    • Microsoft Power Automate
  • Integrate AI services including:

    • OpenAI (ChatGPT)
    • Claude
    • Gemini
    • Anthropic
    • Other LLM APIs
  • Develop AI-powered workflows for:

    • Content generation
    • Data processing
    • Classification
    • Summarization
    • Customer support
    • Lead management
    • Employee onboarding
    • Internal operations

Systems Integration

  • Connect business applications using APIs and webhooks.
  • Configure triggers, actions, filters, and conditional logic.
  • Ensure reliable synchronization across business systems.
  • Troubleshoot workflow failures, API errors, and integration issues.
  • Build scalable, maintainable automation architectures.

Optimization & Performance

  • Monitor workflow performance, reliability, and execution success.
  • Optimize automation speed, scalability, and maintainability.
  • Improve workflow logic using performance data and user feedback.
  • Continuously reduce manual effort through automation enhancements.

Documentation & Collaboration

  • Document workflows, integrations, logic, and system dependencies.
  • Collaborate with operations, marketing, leadership, and technical teams.
  • Communicate automation performance and business impact.
  • Train internal teams on automation processes and best practices.

Requirements

Must-Have Qualifications

Experience

  • Experience in:

    • Workflow Automation
    • Process Optimization
    • Systems Operations
    • Business Process Engineering
  • Hands-on experience with automation platforms such as:

    • Zapier
    • Make
    • n8n
    • Microsoft Power Automate
  • Experience integrating AI platforms including:

    • OpenAI
    • Claude
    • Gemini
    • Anthropic
    • Similar AI services

Technical Skills

  • Strong understanding of:

    • APIs
    • Webhooks
    • JSON
    • System integrations
  • Strong troubleshooting and analytical problem-solving skills.

  • Excellent communication and technical documentation abilities.

  • Reliable internet connection and professional remote workspace.

Nice-to-Have

  • Experience with Python or JavaScript.

  • Familiarity with:

    • Airtable
    • Google Sheets
    • Notion
    • Database-driven workflows
  • Experience integrating:

    • HubSpot
    • Salesforce
    • Other CRM platforms
  • Knowledge of prompt engineering and AI workflow optimization.

  • Experience with RPA tools such as:

    • UiPath
    • Automation Anywhere
  • Experience building AI agents, internal assistants, or operational automation systems.

Tools & Technologies

  • Zapier
  • Make
  • n8n
  • Microsoft Power Automate
  • OpenAI
  • Claude
  • Gemini
  • APIs & Webhooks
  • Google Workspace
  • Slack
  • Asana
  • ClickUp

What Makes You a Strong Fit

  • Passionate about automation and AI technologies.
  • Strong systems thinker with an operational mindset.
  • Able to transform business challenges into scalable automation solutions.
  • Comfortable collaborating with both technical and non-technical stakeholders.
  • Organized with excellent documentation habits.
  • Curious, adaptable, and continuously learning emerging AI technologies.
  • Self-driven and comfortable working independently in a remote environment.

What a Typical Day Looks Like

  • Analyze existing business workflows for automation opportunities.
  • Build and test AI-powered workflows.
  • Integrate business systems using APIs and automation platforms.
  • Troubleshoot workflow failures and optimize automation logic.
  • Monitor automation performance and system reliability.
  • Document automation processes and technical workflows.
  • Collaborate with stakeholders to implement operational improvements.

In short: You design and build AI-powered automation systems that reduce manual work, improve operational efficiency, and help the business scale.

Key Metrics for Success (KPIs)

  • Number of operational workflows successfully automated
  • Automation reliability and uptime
  • Reduction in manual tasks and operational inefficiencies
  • Accuracy and scalability of automation systems
  • Speed of implementation and optimization cycles
  • Quality of documentation and process clarity
  • Stakeholder satisfaction and measurable business impact

Why This Role Stands Out

  • Build impactful AI-powered automation systems used across the business.

  • Work with cutting-edge AI and automation technologies.

  • High ownership and autonomy over automation initiatives.

  • Opportunity to improve business operations at scale.

  • Collaborative, innovation-focused remote environment.

  • Clear career growth into:

    • Senior AI Automation Engineer
    • Automation Architect
    • AI Solutions Engineer
    • Business Systems Lead

Interview Process

  1. Initial Phone Screen
  2. Spark Hire Intro Video (3–5 minutes)
  3. Practical Assessment (Automation or Workflow Scenario)
  4. Final Client Interview
  5. Offer & Onboarding

What Happens After You Apply

Right after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. This short, self-recorded video is the next step that completes your application and can be recorded whenever it’s convenient for you.

Instead of repeating yourself across multiple screening calls, you’ll introduce yourself once, and your video will be shared with the hiring team. This helps the hiring team evaluate your communication style early, making future interviews more meaningful while reducing unnecessary interview rounds.

Don’t overthink it—you can record your video as many times as you’d like before submitting it. Only your final submission will be reviewed.

Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after submitting your application.

Apply Now

If you’re passionate about AI, automation, and building scalable systems that solve real business problems, we’d love to hear from you. Apply today and help transform manual operations into intelligent, AI-driven workflows.

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Operator Solution Engineer at RelationalAI

Works with enterprise customers to design and deploy AI decision systems using RelationalAI's platform, modeling business problems and shipping production solutions.

Mid Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

Who We Are

At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.

Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.

RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.

By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners, we deliver trustworthy decision intelligence: systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.

We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here.

The Role

You will be embedded inside our customers’ hardest problems, and you will own the outcome until it works in production.

You’ll sit with executives, domain experts, and data teams to find the decisions that actually move their business - inventory that’s in the wrong place, risk concentrations nobody can see, fraud patterns that only emerge across three systems, capacity plans built on guesses. Then you’ll model their world in our ontology, formulate the reasoning problem, write the PyRel, and ship something that runs against their real data in their own Snowflake account.

Every engagement here produces two deliverables.

The first is the one the customer sees: a working decision system that changes how they operate.

The second is the one that matters most to us: the pile of things you had to invent because our platform didn’t have them yet. The modelling pattern you hand-rolled. The constraint formulation that should have been a primitive. The three-hour workaround where an API should have existed. You bring those back, you argue for them, and the strongest of them become product.

That second deliverable is why this role exists. If you only ever deliver the first one, we’ve hired a consultant. We’re not hiring consultants.

You’ll operate with unusual autonomy: you decide what’s worth building, when a workaround is acceptable and when it’s technical debt we’ll regret, and when to tell a customer their real problem is not the one they asked about. You’ll be technical enough that when something breaks in a customer environment, you find the root cause yourself rather than filing a ticket and waiting.

What You’ll Do

  • Own outcomes end to end - discovery, modelling, implementation, performance tuning, production hardening, and the measurement that proves it worked. Not a handoff at each stage. Yours.
  • Build, not describe - design and ship decision solutions on our modelling, reasoning, and learning stack: ontologies over customer data, rules, graph analytics, optimisation formulations, predictive models
  • Fill the gaps yourself - when a customer workflow is blocked on something the platform doesn’t do, scope it and build it. Then push the general version upstream: read our source, form a hypothesis before you escalate, open the PR.
  • Close the loop with Product - every deployment generates a signal. Bring back reproductions, patterns, and specific failure modes (“the only way I could express this was by abusing X in this way”), not vibes. You are one of the loudest inputs into our roadmap.
  • Run technical discovery that gets to the truth - workshops, demos, and proofs of concept designed to find out whether we can actually solve the problem, not to look impressive.
  • Leave things better than you found them - document as you go, in the repo, same week. Turn one-off work into reusable reference implementations so the next person starts where you finished. No branch of yours should be diverging for a month.
  • Refuse shortcuts that compound - no undocumented config drift, no “it works now” without knowing why it broke, no restarting the service before you’ve captured the evidence.

Who You Are

You thrive in ambiguity and move with intent. You’re motivated by deep understanding and meaningful impact.

  • Owner, not participant. You take full accountability for the outcome, not your slice of it. When something is broken and it’s nobody’s job, it becomes yours.
  • You build. Your instinct in the face of a hard problem is to open an editor, not a deck. You’d rather show a working prototype on real data than a diagram of one.
  • High conviction, low ego. You argue hard for what you believe, you’re direct about what’s wrong, and you change your mind quickly when the evidence turns. You challenge ideas without making it personal - people leave arguments with you feeling sharper, not smaller.
  • Rigorous. You root-cause things. You can explain both why it broke and why your fix works. Surface symptoms don’t satisfy you.
  • Fast in unfamiliar territory. Dropped into a codebase, a domain, or a data model you’ve never seen, you’re useful within days. “I only do backend” and “that’s not my job” are phrases you don’t use.
  • High tolerance for friction. Enterprise environments are messy - broken data, VDI access, security reviews, politics. You route around it and keep shipping.
  • Impact-driven. You want the thing you built to still be running, and still be load-bearing, two years from now.

What This Role Is Not

We’d rather be blunt than waste your time:

  • It is not demo-and-handoff pre-sales. You don’t disappear after the POC; you’re there when it goes to production.
  • It is not staff augmentation. You own outcomes, not hours or ticket queues.
  • It is not advisory. We deliver working software, not recommendations.
  • It is not a support role. You deploy new things; you don’t maintain someone else’s legacy.

Qualifications

  • 5+ years building and shipping production software, at least some of it inside customer or partner environments
  • Demonstrated end-to-end ownership: you have personally taken something from an ambiguous problem statement to running in production, and you can walk us through the whole arc, including what went wrong
  • Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
  • Strong programming ability - Python primarily; comfort with declarative or logic-style languages is a real advantage
  • Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems you didn’t write
  • Able to hold your own with both a VP of Supply Chain and a staff data engineer, in the same meeting
  • Comfortable operating in high-autonomy, high-velocity, low-instruction environments

Preferred Qualifications

  • Built analytical, decision, or reasoning applications that reached production and stayed there
  • Experience with optimization, constraint solving, rule engines, graph algorithms, or ML on structured data
  • Semantic modelling, data pipelines, and governance in real enterprise settings
  • Track record of upstream contribution - features, tools, or abstractions you built for one customer that became standard for everyone
  • Prior experience in enterprise technology, AI, or analytics platforms

How We Hire

Our loop is designed to test the job, not trivia. Expect a technical screen; a session where you navigate and extend a system you’ve never seen before; a problem-decomposition session on a realistic customer scenario; and a conversation about ownership with the hiring manager. We’re looking for how you think when you don’t know the answer.

The Solution Engineer position offers a base salary range of $170,000 to $200,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.

Why RelationalAI

At RelationalAI, you will:

  • Work from anywhere in the world
  • Earn competitive salary + equity
  • Enjoy open PTO, flexible schedules, and recharge weeks
  • Access global benefits, mental-health support, and learning stipends
  • Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact
  • Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
  • A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.

Country Hiring Guidelines:

RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

How to Apply

If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.

Join us and help build the reasoning layer for the modern enterprise.

Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policyhere.

California residents applying for positions at RelationalAI can see our Privacy Policy here

RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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Operator AI Consultant - AI & Automation platform (m/f/d) at METRO AG

Acts as a strategic bridge between business and technology to identify, prioritize, and drive adoption of AI and automation solutions across the organization.

Mid Posted 7 days ago RemoteFirstJobs Product
What this role involves

Company Description

About us:

Passion for food. Hunger for tech. We make METRO digital.

Today technology is driving the world. And at METRO.digital we are driving the technology for one of the leading international wholesalers specializing in food - METRO. From e-commerce to checkout, to delivery software, we work on a wide range of products to make each day a success for our customers and colleagues. With passion and ownership, we build the future of wholesale.

You are driving to create smart solutions for customers around the globe? You want to grow in a flexible environment? Let the right career opportunity find you and join us!

How you will make an impact?

We are looking for an AI Consultant to serve as a strategic bridge between business and technology, driving the adoption and successful integration of AI and automation solutions across our organization. In this role, you will act as the key translator between AI & Automation strategy and business needs, ensuring that solutions are aligned with METRO’s overall vision. You will engage with stakeholders to identify, assess, and prioritize high-impact AI and automation use cases using data-driven ROI metrics and consult them to unlock the potential of AI and automation.

Develop clear requirements, user stories, and value cases that adhere to AI Platform standards and strategic priorities. Collaborate with cross-functional teams—including Research, Tech, and Business—to design user-centric, data-driven solutions and guide their implementation.

This position offers a dynamic opportunity to shape the future of wholesale by leveraging your expertise to deliver measurable business value through intelligent automation.

Job Description

Your Responsibilities:

  • Being the translator of AI & Automation Strategy to business and back to the AIA Platform and consult the organization to unlock the potential of AI & Automation;
  • Engage with business stakeholders to identify and prioritize potential AI and Automation use cases based on ROI metrics;
  • Facilitate workshops, interviews, and data-driven assessments across METRO organization, to define value propositions and feasibility for the use cases;
  • Translate business needs into actionable requirements, user stories, and value cases aligned with platform standards;
  • Ensure alignment of identified opportunities with strategic AI themes and portfolio priorities in line with AI Strategy;
  • Partner the Squad Lead on roadmap planning, backlog prioritization, and sprint readiness; support agile delivery and stakeholder management;
  • Partner with AIA Platform leadership team, to ensure consistency from ideation to benefit tracking.
  • Support KPI definition, value measurement, and quarterly reporting (QBRs);
  • Act as a local AI ambassador within the squad’s domain, promoting adoption and responsible use of AI solutions;
  • Support rollout, training, and communication of new AI and automation products.

Qualifications

Required key competencies and qualifications:

  • Subject Matter Expertise: Understands well its area of responsibility (AI & Automation), all related systems, processes and products;
  • Discovery: Conducts qualitative and quantitative research with the support of the Research team. Applies the right methodologies to find out relevant information about the user and their problems and needs;
  • Data Driven Decision making: Number driven business opportunities identification, be able to set up value measurement concepts and interpret results from econometrically point of view;
  • Consultancy: Understands the demands of the internal client, selects and explains the right solution. With the proactive behavior, being always a helping hand to solve with cutting-edge technology and bring new ideas to the stakeholder: One more thing mindset;
  • Business Requirements Analysis: Analyses the business requirements and transforms them into AI & Automation opportunities;
  • Communication: Conveys or shares ideas, feelings and information effectively using the most appropriate methods, tools and channels for the respective audience. Good verbal, written and inter-personal communication skills. Very good fluency in English (written and verbal);
  • Process Architecture: Understands the big picture of AI & Automation product portfolio, how it first in METRO´s solution landscape and knows how it supports METRO’s strategy, objectives and their measurement.

Additional Information

What we offer at METRO.digital?

  • Hybrid and agile work: thrive in a flexible, multicultural environment.

At METRO.digital, we promote work-life balance through a hybrid working model. You’ll be part of self-organizing, multicultural teams that collaborate in an agile setup.

  • People development: when you grow so do we!

We want you to become the best version of yourself with individual and company-wide programs and trainings for people development. Focused among other on development, leadership, appreciation … it´s time to upskill your career.

  • Support with individual solutions: we are people-caring!

We offer support whenever you need it - at every stage of your professional journey.

Want to know more about all our benefits? Discover more here.

Let´s connect soon. Apply for the role now!

Position grade within our career framework: AI Consultant (Md7).

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Operator Automations Engineer, Post Sales Systems

Sets up and manages automations within ClickUp's post-sales systems, likely configuring workflows and AI features for customer operations.

Mid Posted 9 days ago Jobicy AI
What this role involves
At ClickUp, we’re building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an...
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Operator AI Deployment Engineer at Gladly

Designs AI use cases, builds integrations and workflows, and optimizes customer AI deployments to automate experience and reduce handle times.

Mid Posted 10 days ago RemoteFirstJobs Product
What this role involves

About Gladly

For business leaders who want to get AI right, Gladly is the only customer experience AI that delivers the cost savings they need AND the customer devotion that drives lasting business value. With over a decade of singular CX focus and trusted by the world’s most customer-centric brands including Crate & Barrel, Breeze Airways, and Ulta Beauty, Gladly was designed for devotion, not deflection: purpose-built to engage customers and turn every conversation into lasting relationship equity. The result is experiences that are radically personal and effortlessly scalable, emotionally intelligent and operationally efficient.

At the heart of our simply powerful platform, Gladly maintains one continuous conversation across all channels while striking the perfect balance of AI and human connection. With 450M+ conversations powered globally, $510M+ cumulative cost savings delivered for customers, and a 65% increase in CSAT, this is a team where your work has real impact at scale. Learn more at www.gladly.ai.

The Team

The AI Deployment Engineering team is the tip of the spear for every new AI rollout at Gladly, working hands-on with our most strategic customers to implement, optimize, and expand their use of our AI. The culture is collaborative and experimental: we solve hard problems together, so this is no place for a lone wolf. You will report to the Manager of AI Delivery and partner closely with Implementation Managers, Professional Services Engineering, and Solution Engineering.

The Opportunity

This role puts you at the center of how Gladly’s top brands adopt AI. You will design AI use cases, build the integrations and workflows behind them, and continuously optimize for the highest possible resolution rates. The goal is simple and high-stakes: help customers automate more of their customer experience, reduce handle time, and get measurably more value from Gladly’s AI all while building end consumer devotion.

You are technical enough to build on your own and polished enough to lead the customer conversation. You can decompose a vague request into a concrete plan, connect  the APIs, write the actions, workflows and guides that make the AI useful, and explain it all back to the customer in plain language. You hold yourself accountable, communicate proactively, and are energized by ambiguity and new technology.

Because this is an emerging discipline, you will help write Gladly’s playbook for what a great AI deployment looks like. It is highly technical and highly customer-facing, and that balance is exactly what makes it work.

We’re looking for someone with a passion for working directly with APIs, java script and AI  the curiosity to solve complex problems, and the initiative to thrive in a fast-paced SaaS environment.

What You’ll Do

Solution Design & Business Analysis

  • Partner with customers to decompose ambiguous goals into concrete, buildable AI use cases, uncovering hidden complexity and edge cases along the way.
  • Determine whether the data a use case needs is available, identify the right APIs or MCP sources, and secure access.

Integration & Technical Build

  • Use Gladly’s CLI to register APIs on the App Platform, making customer data accessible to Gladly AI and agents.
  • Write app actions in JavaScript to condense large API payloads down to the fields the AI actually needs.
  • Build the workflows and guides that tell Gladly’s AI how to use that information and respond to the customer.

Optimization & Customer Success

  • Own use cases end to end after launch: monitor performance, optimize, and build new use cases that lift assist and resolution rates.
  • Give proactive status updates to customers and the internal team, and partner with SAMs and Implementation Managers to keep goals and timelines aligned.
  • Participate in QBRs and EBRs to show progress and ensure customers are getting measurable value.

Pre-Sales & Cross-Functional Partnership

  • Partner with Solutions Engineering on pre-sales demos, and pull in Professional Services Engineering for the most complex custom work.

What We’re Looking For

  • 3-5 years in a technical, customer-facing role such as technical account management, solutions or sales engineering, support engineering, professional services, or forward-deployed engineering, ideally in SaaS, AI, or CX technology.
  • Hands-on technical ability: you can read an API payload and write JavaScript to transform it, you understand REST APIs, JSON, and webhooks, and you are comfortable in a CLI. You build things yourself rather than handing them off.
  • Strong business analysis skills: you turn an ambiguous customer goal into clear requirements and a workable solution design.
  • Exceptional English communication (C1-C2 / business fluent), with the ability to explain complex technical concepts to non-technical stakeholders.
  • Genuine curiosity about AI and an aptitude for prompt engineering and workflow design.
  • Accountability and proactivity: you make commitments, keep them, communicate status without being asked, and thrive in ambiguity.
  • Based in Colombia, able to work core US business hours or with significant overlap.
  • CX, contact center, or CX SaaS background is a strong plus. Forward-deployed or deployment engineering experience at an AI company is a bonus.

Salary for this role: $40,000 - $54,000 USD (may be paid in USD or COL pesos, depending on COR or EOR contract options - but this is a full-time opportunity)

The cash compensation above includes base salary, and is not reflective of potential commission for employees in eligible roles, or annual bonus targets under Gladly’s bonus plan for eligible roles. In addition to cash compensation, all Gladly’s employees are eligible to participate in Gladly’s equity incentive plan to receive stock options per the terms of the agreement. Individual compensation packages are based on a few different factors unique to each candidate, including their career level, skills, experience, specific geographic location qualifications and other job-related reasons.

Why Join Gladly?

Gladly is redefining customer experience AI; we’re designed for devotion, not deflection. We put people at the center of everything we build, from our platform to our culture. When you join us, you’ll enjoy:

  • Competitive salaries, stock options, and comprehensive benefits
  • Generous paid time off, parental leave, and home office stipends
  • A fully remote work environment with opportunities for in-person team gatherings
  • A strong commitment to professional growth and an inclusive workplace where diverse perspectives thrive
  • A company where AI is not a buzzword. We build AI products and we expect our team to use AI tools daily

We’re a team that believes in transparency, collaboration, and the idea that the best work happens when talented people genuinely enjoy working together. Top talent, good vibes, no politics. If this role excites you but you don’t meet every qualification, we still encourage you to apply. The perspectives and experiences you bring matter more than checking every box.

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Operator Forward Deployed Engineer at DevRev

Develops and deploys AI agents, integrations, and automations for customers, optimizing workflows through prompt engineering, APIs, and real-time data synchronization.

Mid Posted 12 days ago RemoteFirstJobs Product
What this role involves

About DevRev

At DevRev, we’re building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers’ processes.

What You’ll Do:

  • Customer-facing: 30% working directly with customers.
  • Coding & Integration: 70-80% hands-on technical implementation
  • Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers’ existing tech stacks and workflows.
  • Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
  • Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
  • Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
  • Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
  • Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
  • Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
  • Travel Ready: Willingness to travel up to 80% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

  • Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
  • Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
  • Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
  • Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
  • Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
  • Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
  • Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
  • Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
  • Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
  • Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
  • Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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Operator Forward Deployed Engineer at DevRev

Develops and deploys AI agents, integrations, and automations on the DevRev platform while working closely with customers to optimize workflows and data insights.

Mid Posted 12 days ago RemoteFirstJobs Product
What this role involves

About DevRev

At DevRev, we’re building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers’ processes.

What You’ll Do:

  • Customer-facing: 30% working directly with customers.
  • Coding & Integration: 70-80% hands-on technical implementation
  • Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers’ existing tech stacks and workflows.
  • Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
  • Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
  • Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
  • Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
  • Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
  • Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
  • Travel Ready: Willingness to travel up to 80% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

  • Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
  • Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
  • Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
  • Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
  • Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
  • Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
  • Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
  • Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
  • Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
  • Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
  • Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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Operator Forward Deployed Engineer at DevRev

Develops AI agents, integrations, and automations for customers using TypeScript/Python, optimizing prompt engineering and connecting DevRev with existing tech stacks via APIs and webhooks.

Mid Posted 12 days ago RemoteFirstJobs Product
What this role involves

About DevRev

At DevRev, we’re building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers’ processes.

What You’ll Do:

  • Customer-facing: 30% working directly with customers.
  • Coding & Integration: 70-80% hands-on technical implementation
  • Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers’ existing tech stacks and workflows.
  • Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
  • Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
  • Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
  • Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
  • Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
  • Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
  • Travel Ready: Willingness to travel up to 80% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

  • Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
  • Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
  • Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
  • Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
  • Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
  • Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
  • Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
  • Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
  • Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
  • Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
  • Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

Read the full description
Operator AI Prompt Engineer (Skills & Prompts) at Pixalate

Designs and maintains system prompts, agent skills, and evaluation frameworks for production AI agents serving real customers.

Mid Remote Posted 13 days ago RemoteFirstJobs Product
What this role involves

AI Prompt Engineer (Skills & Prompts)

Employment Type: Full-Time

Location: Remote, Pakistan

The Role

Pixalate runs AI agents in production against real customer problems: agents that investigate invalid traffic (IVT) for clients, and analytics agents that let customers ask questions of our data directly. These agents are only as good as the instructions and skills behind them.

As an AI Prompt Engineer you own that layer. You will write and maintain the system prompts and the agent skills that decide how our agents behave: what they know, which tools they reach for, when they push back, and, critically, when they stop and ask the user a clarifying question instead of guessing. This is engineering work, not prompt tinkering. You will version your changes, measure them against evaluations, and be accountable for agent behaviour in front of real customers. You will work directly with the team building the IQ Agent and Analytics MCP, the client IVT investigator agents, and the MRT MCP.

What You’ll Do

Build and Own Agent Skills

  • Author and maintain Claude skills and plugins that define agent capabilities and behaviour
  • Design agents that ask clarifying questions and gather requirements interactively, rather than answering one-shot from incomplete information
  • Decide what belongs in a skill, what belongs in a system prompt, and what belongs in a tool
  • Maintain the skill library as products evolve, treating it as a living surface rather than a one-time build

System Prompts for Production Agents

  • Own the system prompts behind Pixalate’s client-facing agents: IVT investigator agents, IQ Agent / Analytics MCP, and MRT MCP
  • Version prompts and skills deliberately, with a clear record of what changed and why
  • Debug real agent failures: wrong tool selection, hallucinated findings, missed clarifying questions, context exhaustion

Evaluation and Measurement

  • Define what “correct” means for each agent and build evaluation suites that test it
  • Build ground-truth datasets from real customer scenarios and measure changes against them
  • Catch regressions before customers do

Context and Tool Design

  • Engineer context strategies: what the agent sees, in what order, within what budget
  • Work with engineering on MCP tool surfaces: which tools exist, how they are described, and how those descriptions drive correct selection
  • Tune for cost and latency as well as accuracy

Safety and Trust

  • Guard against prompt injection, data leakage, and unsafe tool use in customer-facing agents
  • Ensure agents represent Pixalate’s findings accurately and do not overstate confidence

What We’re Looking For

  • Demonstrable experience building LLM agents that shipped to real users, not prototypes or demos
  • Hands-on work with agent skills, plugins, system prompts, or equivalent agent-behaviour tooling
  • Evidence of evaluation discipline: you can describe an eval suite you built, the ground truth behind it, and a regression it caught. This is the single most important qualification.
  • Strong written English. This role is writing, and the writing is the product.
  • Working proficiency in Python or TypeScript, and comfort reading the codebase your agents run in
  • Understanding of tool-calling / function-calling and how agents select tools
  • Awareness of prompt injection, PII handling, and the failure modes of customer-facing AI
  • Comfortable with some U.S. timezone overlap for team meetings
  • Ad-tech, digital advertising, or fraud-detection exposure is strongly preferred: programmatic, DSPs, SSPs, CTV, or IVT and ad fraud concepts. If you do not have it, you must be prepared to learn the domain deeply in your first 90 days, because agent quality depends on it.
  • Experience with MCP (Model Context Protocol) servers or similar tool-integration standards is a plus
  • Experience with observability and tracing for LLM systems is a plus
  • Experience with retrieval systems and their failure modes is a plus
  • Data analysis background, including SQL and working with large datasets, is a plus

About us

Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.

We’re seeking an AI Prompt Engineer to help build and maintain the production agent systems that directly impact millions of users worldwide. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:

  • UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children’s online privacy. & UNICEF Global Compliance Tech case study
  • Gizmodo : An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
  • Adweek : A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
  • Washington Post : Your kids’ apps are spying on them
  • Pro Publica : Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
  • ABC7 News : The State of Children’s Privacy Online
  • NBC News : How many apps are tracking your children

Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.Pixalate is an equal opportunity employer committed to building a diverse team.

Our Culture

We believe in small teams that produce high output. Slack is a way of life and short emails are encouraged. We value a fearless attitude and bold ideas. Chess players do well here. Titles don’t mean much - you attain respect by producing results. Everyone’s a data addict and analytical thinker who thrives on collaboration.

What We Offer

At Pixalate, you will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you’re passionate about building products that protect millions of users and thrive in a fast-paced, challenging environment, you’ll fit right in.

  • A Competitive Compensation Package
  • Monthly Internet Reimbursement
  • Casual, Remote Work Environment
  • Flexible Hours
  • Opportunity for Advancement and Professional Development
  • Fun Annual Team Events
  • Being part of a high-performing global team that wants to win and have fun doing it
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